Differential Evolution (DE) is a state-of-the art global optimization technique. Considerable
research effort has been made to improve this algorithm and apply it to a variety of practical …

We first introduce various algorithms and techniques for machine learning and data science.
While there is a strong focus on neural network applications in unsupervised, supervised …

Genetic algorithms have been used in science and engineering as adaptive algorithms for
solving practical problems and as computational models of natural evolutionary systems …

This is the second edition of our 2003 book. It is primarily a book for lecturers and graduate
and undergraduate students. To this group the book offers a thorough introduction to …

The problem of complex adaptations is studied in two largely disconnected research
traditions: evolutionary biology and evolutionary computer science. This paper summarizes …

This invaluable book has been designed to be useful to most practising scientists and
engineers, whatever their field and however rusty their mathematics and programming might …

Genetic programming (GP), one of the most advanced forms of evolutionary computation,
has been highly successful as a technique for getting computers to automatically solve …

Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications
discusses algorithmic developments in the context of genetic algorithms (GAs) and genetic …

2. Representations for Genetic and Evolutionary Algorithms Page 1 2. Representations for
Genetic and Evolutionary Algorithms In this second chapter, we present an introduction into the …

Most textbooks on modern heuristics provide the reader with detailed descriptions of the
functionality of single examples like genetic algorithms, genetic programming, tabu search …